Robotic Deburring Trajectory Recognition With Contour Feedback
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Solution Overview
Problem
Current deburring processes using robotic arms face challenges due to unignorable dimension errors, irregular burr distribution, and poor dynamic trajectory precision, leading to unsatisfactory machining results and reliance on human labor.
Innovation Solution
A method and system that utilize a linear contour sensor and curve-fit algorithm to analyze CAD files, determine deburring position information, and generate processing paths, enabling online burr detection and dynamic precision compensation for robotic deburring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a robotic arm is utilized to perform deburring automatically, then productivity is improved, but manufacturing precision deteriorates due to poor dynamic trajectory precision and dimension errors
Solution Approach 1:
The system employs a linear contour sensor to detect the actual workpiece contour in real-time during robotic deburring operations. The detected contour data is fed back to the control system, which then adjusts the robotic arm trajectory dynamically to compensate for dimension errors and maintain manufacturing precision while preserving automation benefits
Solution Approach 2:
The system transitions from static pre-programmed trajectories to dynamic real-time trajectory adjustment. The robotic arm's processing path is continuously modified based on actual workpiece contour measurements, enabling the system to adapt to dimensional variations and maintain precision throughout the deburring process
2Manufacturing precision
If offline coding and 3D-point cloud analysis are used for trajectory generation, then manufacturing precision is improved, but loss of time increases due to time-consuming processing
Solution Approach 1:
The system performs preliminary contour detection using the linear contour sensor before actual deburring begins. This preliminary measurement establishes the baseline workpiece geometry, allowing the control system to generate and adjust trajectories in real-time during processing rather than relying on time-consuming offline 3D-point cloud analysis
Solution Approach 2:
The system replaces complex offline 3D-point cloud processing with a simplified real-time measurement approach using the linear contour sensor. This substitution maintains trajectory accuracy by focusing measurements only on relevant contour features while dramatically reducing computational time and enabling online trajectory generation
3Manufacturing precision
If human teaching is used for robotic deburring, then manufacturing precision is improved through experience and skills, but productivity deteriorates due to reliance on manual labor
Solution Approach 1:
The system enables the robotic deburring system to self-adjust and self-optimize by automatically detecting workpiece contours and generating appropriate trajectories without human intervention. The control system processes contour data and modifies processing parameters autonomously, capturing the precision benefits of human expertise while maintaining high robotic productivity
Solution Approach 2:
The linear contour sensor provides continuous feedback on actual workpiece geometry, allowing the control system to automatically adjust trajectories and compensate for variations. This closed-loop feedback mechanism replaces the need for human operators to manually observe and correct processing quality, maintaining high precision while preserving robotic automation and productivity
Data Source
AI summary
A method for recognizing a deburring trajectory, relevant to be performed by a controller or a computer, includes the steps of: according to a process flow of a workpiece, analyzing a CAD file of the workpiece, determining a burr processing area and obtaining a mathematical model of boundary contour curve; applying a linear contour sensor to scan the workpiece to obtain contour section information of the workpiece; performing curve fitting upon the contour section information of the workpiece and the mathematical model of boundary contour curve so as to obtain a boundary curve function; and, utilizing the boundary curve function to determine deburring position information of the workpiece and to further generate a processing path. In addition, a system for recognizing a deburring trajectory is also provided.